Super-SloMo VS XVFI

Compare Super-SloMo vs XVFI and see what are their differences.

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Super-SloMo XVFI
1 1
2,965 260
- -
0.0 0.0
about 1 year ago over 1 year ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Super-SloMo

Posts with mentions or reviews of Super-SloMo. We have used some of these posts to build our list of alternatives and similar projects.
  • Cop records huge crash with his bodycam.
    1 project | /r/WTF | 27 Jan 2021
    No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".

XVFI

Posts with mentions or reviews of XVFI. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Super-SloMo and XVFI you can also consider the following projects:

AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"

sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

torchio - Medical imaging toolkit for deep learning

DIML - [ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

CAIN - Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"